ActivityNet-QA (test)
ActivityNet-QA (test) as evaluated on the LFM3-VL-2B card (vision benchmark, with-thinking setting): Video category, with-thinking column. ActivityNet-QA test split; no inventory match.
Category
Video Understanding
Score type
percent
Scale
100%
higher is better
Models tested
1
What is ActivityNet-QA (test)?
ActivityNet-QA (test) is a benchmark for understanding videos instead of static images. The official description says: "ActivityNet-QA (test) as evaluated on the LFM3-VL-2B card (vision benchmark, with-thinking setting): Video category, with-thinking column". Below we describe in simple words what benchmarks of this type generally examine.
What does it test?
ActivityNet-QA (test) measures understanding videos instead of static images. In detail, it checks:
- following events, actions and their order across time
- answering questions about long videos (with and without subtitles)
- reasoning about what happened and why, not just single frames
- integrating audio/subtitle context with the visual stream
How to read the score
The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.
Official methodology note: ActivityNet-QA (test) as evaluated on the LFM3-VL-2B card (vision benchmark, with-thinking setting): Video category, with-thinking column. ActivityNet-QA test split; no inventory match.
Frequently asked questions
What is the ActivityNet-QA (test) benchmark?
ActivityNet-QA (test) is a benchmark for understanding videos instead of static images. The official description says: 'ActivityNet-QA (test) as evaluated on the LFM3-VL-2B card (vision benchmark, with-thinking setting): Video category, with-thinking column'. Below we describe in simple words what benchmarks of this type generally examine.
What does ActivityNet-QA (test) test?
ActivityNet-QA (test) mainly measures understanding videos instead of static images. Concretely, it checks: following events, actions and their order across time; answering questions about long videos (with and without subtitles); reasoning about what happened and why, not just single frames.
How is the ActivityNet-QA (test) score calculated?
The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better. The declared maximum score of this benchmark is 100.0.
Where do I get ActivityNet-QA (test) data and scores?
The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/activitynet-qa-test/scores) or pull it directly from the Open LLM Radar API with any HTTP client.
Benchmark data & downloads
Where to get, inspect and reuse the data behind this benchmark.
Model scores 1 model tested
| # | Model | Score | Date | Source | Verified |
|---|---|---|---|---|---|
| 1 |
LFM3-VL-2B
LiquidAI
|
71.2%
|
— | Report | Verified |